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陈亮

Liang Chen

@Guangzhou, China.

About me

Dr. Liang Chen is currently an Associate Professor at School of Computer Science and Engineering in Sun Yat-Sen University, Guang Zhou, China. He received a PhD and a Bachelor’s degree from Advanced Computing and System Laboratory (CCNT), College of Compter Science &Technology at Zhejiang University, China, respectively in 2015 and 2009. His research area includes Recommendation System, Graph Computing, Adversarial Learning, AI Security, and Service Computing. (Google Scholar)

Position Opening! Looking for Students with Research Passion!(Research Intern, Master, PhD.)

What’s new

  • [KDD-22] 2022/05/01, We will give a tutorial about “Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection” with our collaborators.
  • [IJCAI-22] 2022/04/21, Our work on spiking graph convolutional network has been accepted for a Long Oral presentation.
  • [KBS-22] 2022/03/16, Our work on Graph Enhanced Neural Interaction Model has been accepted.
  • [CIKM-21] 2021/08/08, Our work on Cross Domain Recommendation has been accepted.
  • [TOIS-21] 2021/06/03, My collaboration with researchers in Netease and Tsinghua on Graph Convolutional Network for Recommendation has been accepted.
  • [IJCAI-21] 2021/04/29, Our work on structural vulnerability of graph convolutional network has been accepted.
  • [IJCAI-21] 2021/04/29, My collaboration with researchers in HKU, UIUC, and Emory on secure graph generation has been accepted.
  • [TKDE-21] 2021/04/27, Our work on graph adversarial attack has been accepted.
  • [SIGIR-21] 2021/04/15, My collaboration with researchers in USTC,NUS, and MSRA on self-supervised graph leraning for recommendation has been accepted.
  • [SIGIR-21] 2021/04/15, My collaboration with researchers in USTC,Glasgow, and Alibaba on debias for recommendation has been accepted.
  • [ICSE-21] 2021/01/22, Our work on GNN benchmarking platform has been accepted.
  • [WWW-21] 2021/01/16, My collaboration with researchers in Tsinghua on GNN based recommendation has been accepted.

Latest Selected Publications

  • [KDD-22] Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang, “Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection”, Washington DC, USA, August 14-18, 2022.
  • [IJCAI-22] Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen*, Qi Yu, Siqiang Luo, “Spiking Graph Convolutional Networks”, 31th International Joint Conference on Artificial Intelligence, Main Track, Vienna, Australia, July 23-29, 2022, accepted.
  • [KBS-22] Liang Chen, Tao Xie, Jintang Li, and Zibin Zheng, “Graph Enhanced Neural Interaction Model”, Knowledge-based Systems, March 2022, accepted.
  • [IJCAI-21] Liang Chen, Jintang Li, Qibiao Peng , Yang Liu, Zibin Zheng, Carl Yang, “Understanding Structural Vulnerability in Graph Convolutional Networks”, 30th International Joint Conference on Artificial Intelligence, Main Track, Montreal-themed Virtual Reality, Canada, 2021, pp.2249-2255.
  • [TKDE-21] Jintang Li, Tao Xie, Liang Chen*, Fenfang Xie, Xiangnan He, Zibin Zheng, “Adversarial Attack on Large Scale Graph”, IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2021.3078755.
  • [ICSE-21] Jintang Li, Kun Xu, Liang Chen*, Zibin Zheng and Xiao Liu, “GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software”, 43rd International Conference on Software Engineering, demo track, Virtual, 2021, pp.13-16, doi: 10.1109/ICSE-Companion52605.2021.00024.
  • [ICDE-21] Tao Xie, Yangjun Xu, Liang Chen*, Yang Liu, and Zibin Zheng, “Sequential Recommendation on Dynamic Heterogeneous Information Network”, IEEE 37th International Conference on Data Engineering, Poster, Chania, Greece, 2021, pp. 2105-2110.
  • [TOIT-21] Liang Chen, Jiaying Peng, Yang Liu, Jintang Li, Fenfang Xie, Zibin Zheng*, “Phishing Scams Detection in Ethereum Transaction Network”, ACM Transactions on Internet Technology, 2020, accepted.[Data]